Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/41286

Consumer-Oriented Tech Mining: Integrating the Consumer Perspective into Organizational Technology Intelligence - The Case of Autonomous Driving

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Title: Consumer-Oriented Tech Mining: Integrating the Consumer Perspective into Organizational Technology Intelligence - The Case of Autonomous Driving
Authors: Egger, Marc
Schoder, Detlef
Keywords: consumer perception
technology intelligence
tech mining
text mining
user-generated content
Issue Date: 04 Jan 2017
Abstract: To avoid missing technological opportunities and to counteract risks, organizations have to scan and monitor developments in the external environment through a structured process of technology intelligence. Previous approaches in tech mining—the application of text mining for technology intelligence —have primarily focused on the elicitation of technical or legal information from web, patent, or research databases. However, knowledge of consumers’ needs, fears, and hopes is a prerequisite for the success of an emerging technology in the marketplace. Thus, we claim that technology intelligence needs to also consider consumers’ technology perceptions. Hence, we propose a novel and comprehensive approach to collect user-generated content from the web and apply text mining to derive consumer perceptions. In doing so, we align with an established tech-mining process. This paper illustrates our approach on the emerging technology of autonomous driving and provides an initial indication of concurrent validity.
Pages/Duration: 10 pages
URI/DOI: http://hdl.handle.net/10125/41286
ISBN: 978-0-9981331-0-2
DOI: 10.24251/HICSS.2017.133
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections:Data, Text, and Web Mining for Business Analytics Minitrack



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